VIIRS Data of Japan Izumi Nagatani AFFRIT, MAFF Japan APAN33 EM-WG Workshop in Chiang Mai, February 13,2012 VIIRS Data Evaluation over Thailand and Japan
Feb 24, 2016
VIIRS Data of Japan
Izumi NagataniAFFRIT, MAFF
Japan
APAN33 EM-WG Workshop in Chiang Mai, February 13,2012
VIIRS Data Evaluation over Thailand and Japan
Terra/Aqua DR sites
NASA Direct Readout Laboratory
Satellite Image Database system (SIDaB)
NOAA and DMSP ProductsNOAA Sea Surface Temperature (MCSST) DMSP/OLS Nighttime lights
Land Surface Reflectance
MODIS ProductsNDVI
LST
SST
Forest Fire Information System using real-time MODIS data
Forest fire detection Vegetation dryness prediction
Forest Fire Information System using real-time MODIS data
Key issue
• Data continuity for AFF researchers and practical users
NPP/VIIRS
NPP/VIIRS 3 data levels
• Raw Data Records (RDRs) / Level 0• Sensor Data records (SDRs) / Level 1B• Environmental Data Records (EDRs) / Level 2
Level 1BSensor Data Records (SDRs)
Calibrated and geolocated radiances and reflectances22 bands
- Moderate resolution bands• M1-M11: Reflective Solar Bands (RSB)• M12-M16: Thermal Emission Bands (TEB)
- Imaging resolution bands•I1-I3: RSB•I4-I5: TEB
- Day Night Band (DNB)
Level 2Environmental Data Records (EDRs)
24 Products• Aerosols
Aerosol optical thickness, Aerosol particle size parameter, Suspended matter.• Imagery and Clouds
Imagery, Cloud mask, Cloud optical thickness, Cloud effective particle size parameter, Cloud top parameters, Cloud base height, Cloud cover/layers.
• Land Active Fires, Land surface temperature, Ice surface temperature, Snow ice characterization, Snow cover/depth, Vegetation index, Surface type.
• OceanSea surface temperature, Ocean color.
VIIRS sample datasets
VIIRS sample dataset (one Japan_day)• GCLDO-VCOTO_npp_d20120126_t0350519 (9.0M)
• GNDBO-SVDNB_npp_d20120126_t0350519 (548M)
• GIGTO-VI1BO-VI2BO-VI3BO-VI4BO- VI5BO_npp_d20120126_t0350358 (2.9G)
• GIMGO-SVI01-SVI02-SVI03-SVI04-SVI05_npp_d20120126_t0350519 (2.2G)
• GMODO-SVM01-SVM02-SVM03-SVM04-SVM05-….-SVM15_npp_d20120126_t0350519 (1.2G)
• GMTCO_npp_d20120126_t0350519 (310M)Blue: Sensor Data Records, Red: Environmental Dada Records
VIIRS sample dataset (3 Japan_night)• GCLDO-VCOTO_npp_d20120126_t1610339 (9.0M)
• GNDBO-SVDNB_npp_d20120126_t1610339 (548M)
• GIGTO-VI4BO-VI5BO_npp_d20120126_t16… (2.2G)
• GIMGO-SVI04-SVI05_npp_d20120126_t16… (1.6G)
• GITCO_npp_d20120126_t1616143 (1.3G)
• GMODO-SVM07-SVM08-SVM10-SVM12-…- SVM16_npp_d20120126_t1610339 (742M)
• GMTCO_npp_d20120126_t1610339 (310M)Blue: SDR, Red: EDR
Data product IDs• SVDNB: SDR for DNB band• SVIxx: SDR for Imagery band xx, where xx=01-05• SVMxx: SDR for Moderate Resolution Radiometric
Band, where xx=01-16• GDNBO: Geolocation for DNB band• GIMGO: Geolocation for Imagery bands• GMODO: Geolocation for Moderate Resolution
Radiometric Bands
ENVI plug-in h5_browser (from NOAA)
GITCO (height)
Terrain Computation2-D data
HeightLatitudeLongitudeSatelliteAzimuthAngleSatelliteRangeSatelliteZenithAngleSolarAzimuthAngleSolarZenithAngle
Day Night Band (DNB) SDRSpectral Range (um):
0.50 – 0.90Units :W/ cm2 srData Type :32-bit floating point
We use it for DMSP heritage,fishing boat monitoring
Day Night Band (DNB) SDR
Tokyo Hokkaido
Very fine !!
Comparison with DMSP-OLS
DMSP-OLS (Res:2.7km) VIIRS DNB (Res:0.742km)
True color image (R,G,B:M5,M4,M3)SDR
Horizontal Sample Intervalby scan angle
False color image (R,G,B: M11,M7,M5)SDR
False color image (R,G,B: M11,M7,M5)EDR
Gaps?
Average Cloud Optical Thickness (EDR product)
NOAA CLASShttp://www.class.noaa.gov/
Conclusion• MAFF needs NPP/VIIRS data of Japan and SE Asian region for
research continuity especially for forest fire detection and fishing boats monitoring of night time lights data.
• The fine VIIRS night time lights imagery is excellent!
• In this time, we checked the file names, imageries and HDF data structures, which are not simple for non experts.
• We are considering to use the CLASS system to obtain real time data.
Acknowledgments
Thank Dr. Chris Elvidge and Ms. Sharolyn Anderson of NOAA-NGDC for providing VIIRS sample datasets, and Ms. Kimberly Baugh of CIRES, NOAA-NGDC for providing excellent ENVI plugins.
Thank you